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Don't Take the Premise for Granted: Mitigating Artifacts in Natural
  Language Inference

Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference

9 July 2019
Yonatan Belinkov
Adam Poliak
Stuart M. Shieber
Benjamin Van Durme
Alexander M. Rush
ArXiv (abs)PDFHTML

Papers citing "Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference"

50 / 63 papers shown
Title
How to Improve the Robustness of Closed-Source Models on NLI
How to Improve the Robustness of Closed-Source Models on NLI
Joe Stacey
Lisa Alazraki
Aran Ubhi
Beyza Ermis
Aaron Mueller
Marek Rei
42
0
0
26 May 2025
FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking
FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking
Jabez Magomere
Elena Kochkina
Samuel Mensah
Simerjot Kaur
Charese Smiley
108
1
0
22 Apr 2025
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions
ANPMI: Assessing the True Comprehension Capabilities of LLMs for Multiple Choice Questions
Gyeongje Cho
Yeonkyoung So
Jaejin Lee
ELM
126
0
0
26 Feb 2025
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to
  Address Shortcut Shifts in Natural Language Understanding
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
Ukyo Honda
Tatsushi Oka
Peinan Zhang
Masato Mita
90
1
0
17 Jun 2024
Explanation based Bias Decoupling Regularization for Natural Language
  Inference
Explanation based Bias Decoupling Regularization for Natural Language Inference
Jianxiang Zang
Hui Liu
61
1
0
20 Apr 2024
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions
  Without the Question?
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?
Nishant Balepur
Abhilasha Ravichander
Rachel Rudinger
ELM
122
28
0
19 Feb 2024
A synthetic data approach for domain generalization of NLI models
A synthetic data approach for domain generalization of NLI models
Mohammad Javad Hosseini
Andrey Petrov
Alex Fabrikant
Annie Louis
SyDa
84
10
0
19 Feb 2024
On Measuring Faithfulness or Self-consistency of Natural Language
  Explanations
On Measuring Faithfulness or Self-consistency of Natural Language Explanations
Letitia Parcalabescu
Anette Frank
LRM
125
29
0
13 Nov 2023
OYXOY: A Modern NLP Test Suite for Modern Greek
OYXOY: A Modern NLP Test Suite for Modern Greek
Konstantinos Kogkalidis
S. Chatzikyriakidis
Eirini Chrysovalantou Giannikouri
Vassiliki Katsouli
Christina Klironomou
...
Dimitris Papadakis
Thelka Pasparaki
Erofili Psaltaki
E. Sakellariou
Hara Soupiona
75
0
0
13 Sep 2023
NatLogAttack: A Framework for Attacking Natural Language Inference
  Models with Natural Logic
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic
Zióu Zheng
Xiao-Dan Zhu
AAMLLRM
98
6
0
06 Jul 2023
Stubborn Lexical Bias in Data and Models
Stubborn Lexical Bias in Data and Models
Sofia Serrano
Jesse Dodge
Noah A. Smith
97
2
0
03 Jun 2023
Adverbs, Surprisingly
Adverbs, Surprisingly
Dmitry Nikolaev
Collin F. Baker
Miriam R. L. Petruck
Sebastian Padó
77
1
0
31 May 2023
ScoNe: Benchmarking Negation Reasoning in Language Models With
  Fine-Tuning and In-Context Learning
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning
Jingyuan Selena She
Christopher Potts
Sam Bowman
Atticus Geiger
94
15
0
30 May 2023
Large Language Models are not Fair Evaluators
Large Language Models are not Fair Evaluators
Peiyi Wang
Lei Li
Liang Chen
Zefan Cai
Dawei Zhu
Binghuai Lin
Yunbo Cao
Qi Liu
Tianyu Liu
Zhifang Sui
ALM
150
575
0
29 May 2023
Distilling Robustness into Natural Language Inference Models with
  Domain-Targeted Augmentation
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation
Joe Stacey
Marek Rei
57
3
0
22 May 2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Yanchen Liu
Jing Yang
Yan Chen
Jing Liu
Huaqin Wu
MoE
85
2
0
28 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future
  Research Directions
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
Marwan Omar
SILMAAML
86
20
0
14 Feb 2023
DISCO: Distilling Counterfactuals with Large Language Models
DISCO: Distilling Counterfactuals with Large Language Models
Zeming Chen
Qiyue Gao
Antoine Bosselut
Ashish Sabharwal
Kyle Richardson
94
31
0
20 Dec 2022
Feature-Level Debiased Natural Language Understanding
Feature-Level Debiased Natural Language Understanding
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Pengjie Ren
Yukun Zhao
D. Yin
Zhaochun Ren
91
12
0
11 Dec 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in
  Natural Language Inference
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
73
5
0
07 Nov 2022
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut
  Learning in VQA
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA
Q. Si
Fandong Meng
Mingyu Zheng
Zheng Lin
Yuanxin Liu
Peng Fu
Yanan Cao
Weiping Wang
Jie Zhou
81
23
0
10 Oct 2022
Towards Robust Visual Question Answering: Making the Most of Biased
  Samples via Contrastive Learning
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
Q. Si
Yuanxin Liu
Fandong Meng
Zheng Lin
Peng Fu
Yanan Cao
Weiping Wang
Jie Zhou
88
24
0
10 Oct 2022
Text Characterization Toolkit
Text Characterization Toolkit
Daniel Simig
Tianlu Wang
Verna Dankers
Peter Henderson
Khuyagbaatar Batsuren
Dieuwke Hupkes
Mona T. Diab
64
0
0
04 Oct 2022
DataPerf: Benchmarks for Data-Centric AI Development
DataPerf: Benchmarks for Data-Centric AI Development
Mark Mazumder
Colby R. Banbury
Xiaozhe Yao
Bojan Karlavs
W. G. Rojas
...
Carole-Jean Wu
Cody Coleman
Andrew Y. Ng
Peter Mattson
Vijay Janapa Reddi
VLM
87
105
0
20 Jul 2022
An Understanding-Oriented Robust Machine Reading Comprehension Model
An Understanding-Oriented Robust Machine Reading Comprehension Model
Feiliang Ren
Yongkang Liu
Bochao Li
Shilei Liu
Bingchao Wang
Jiaqi Wang
Chunchao Liu
Qi Ma
60
3
0
01 Jul 2022
Distilling Model Failures as Directions in Latent Space
Distilling Model Failures as Directions in Latent Space
Saachi Jain
Hannah Lawrence
Ankur Moitra
Aleksander Madry
97
90
0
29 Jun 2022
Logical Reasoning with Span-Level Predictions for Interpretable and
  Robust NLI Models
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
Joe Stacey
Pasquale Minervini
Haim Dubossarsky
Marek Rei
ReLMLRM
117
16
0
23 May 2022
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training
  and Adversarial Filtering
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering
Shiquan Yang
Xinting Huang
Jey Han Lau
S. Erfani
88
5
0
20 May 2022
Towards Explanation for Unsupervised Graph-Level Representation Learning
Towards Explanation for Unsupervised Graph-Level Representation Learning
Qinghua Zheng
Jihong Wang
Minnan Luo
Yaoliang Yu
Jundong Li
L. Yao
Xiao Chang
58
1
0
20 May 2022
Learning to Split for Automatic Bias Detection
Learning to Split for Automatic Bias Detection
Yujia Bao
Regina Barzilay
67
21
0
28 Apr 2022
Generating Data to Mitigate Spurious Correlations in Natural Language
  Inference Datasets
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
95
68
0
24 Mar 2022
PECO: Examining Single Sentence Label Leakage in Natural Language
  Inference Datasets through Progressive Evaluation of Cluster Outliers
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers
Michael Stephen Saxon
Xinyi Wang
Wenda Xu
William Yang Wang
97
9
0
16 Dec 2021
"Will You Find These Shortcuts?" A Protocol for Evaluating the
  Faithfulness of Input Salience Methods for Text Classification
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
Jasmijn Bastings
Sebastian Ebert
Polina Zablotskaia
Anders Sandholm
Katja Filippova
152
78
0
14 Nov 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
Prajjwal Bhargava
Aleksandr Drozd
Anna Rogers
159
108
0
04 Oct 2021
Counterfactual Samples Synthesizing and Training for Robust Visual
  Question Answering
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
Long Chen
Yuhang Zheng
Yulei Niu
Hanwang Zhang
Jun Xiao
AAMLOOD
119
37
0
03 Oct 2021
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense
  Language Understanding
Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding
Shane Storks
Qiaozi Gao
Yichi Zhang
J. Chai
ReLMLRM
108
23
0
10 Sep 2021
A Generative Approach for Mitigating Structural Biases in Natural
  Language Inference
A Generative Approach for Mitigating Structural Biases in Natural Language Inference
Dimion Asael
Zachary M. Ziegler
Yonatan Belinkov
43
8
0
31 Aug 2021
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot
  Event Classification
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification
Peiyi Wang
Runxin Xu
Tianyu Liu
Damai Dai
Baobao Chang
Zhifang Sui
75
16
0
29 Aug 2021
An Investigation of the (In)effectiveness of Counterfactually Augmented
  Data
An Investigation of the (In)effectiveness of Counterfactually Augmented Data
Nitish Joshi
He He
OODD
86
47
0
01 Jul 2021
Learning Stable Classifiers by Transferring Unstable Features
Learning Stable Classifiers by Transferring Unstable Features
Yujia Bao
Shiyu Chang
Regina Barzilay
OOD
82
8
0
15 Jun 2021
Variational Information Bottleneck for Effective Low-Resource
  Fine-Tuning
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning
Rabeeh Karimi Mahabadi
Yonatan Belinkov
James Henderson
DRL
71
76
0
10 Jun 2021
Check It Again: Progressive Visual Question Answering via Visual
  Entailment
Check It Again: Progressive Visual Question Answering via Visual Entailment
Q. Si
Zheng Lin
Mingyu Zheng
Peng Fu
Weiping Wang
79
48
0
08 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Yujia Bao
Shiyu Chang
Regina Barzilay
76
21
0
26 May 2021
Supervising Model Attention with Human Explanations for Robust Natural
  Language Inference
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
75
48
0
16 Apr 2021
Dynabench: Rethinking Benchmarking in NLP
Dynabench: Rethinking Benchmarking in NLP
Douwe Kiela
Max Bartolo
Yixin Nie
Divyansh Kaushik
Atticus Geiger
...
Pontus Stenetorp
Robin Jia
Joey Tianyi Zhou
Christopher Potts
Adina Williams
218
411
0
07 Apr 2021
SILT: Efficient transformer training for inter-lingual inference
SILT: Efficient transformer training for inter-lingual inference
Javier Huertas-Tato
Alejandro Martín
David Camacho
48
11
0
17 Mar 2021
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
Sebastian Hofstatter
Aldo Lipani
Sophia Althammer
Markus Zlabinger
Allan Hanbury
128
17
0
18 Jan 2021
DynaSent: A Dynamic Benchmark for Sentiment Analysis
DynaSent: A Dynamic Benchmark for Sentiment Analysis
Christopher Potts
Zhengxuan Wu
Atticus Geiger
Douwe Kiela
299
80
0
30 Dec 2020
Learning from others' mistakes: Avoiding dataset biases without modeling
  them
Learning from others' mistakes: Avoiding dataset biases without modeling them
Victor Sanh
Thomas Wolf
Yonatan Belinkov
Alexander M. Rush
96
116
0
02 Dec 2020
OCNLI: Original Chinese Natural Language Inference
OCNLI: Original Chinese Natural Language Inference
Hai Hu
Kyle Richardson
Liang Xu
Lu Li
Sandra Kübler
L. Moss
95
118
0
12 Oct 2020
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